# Compare brand search interest side by side

**Use case:** 

Put two or more brands on one shared 0-100 Google Trends scale, so the numbers are directly comparable. Returns each brand's timeline, average, peak and rank.

## Input

```json
{
  "keywords": [
    "nike",
    "adidas"
  ],
  "compareKeywords": true,
  "dataTypes": [
    "interestOverTime"
  ],
  "geo": "US",
  "timeframe": "today 12-m",
  "regionResolution": "COUNTRY",
  "category": 0,
  "property": "",
  "trendingNowGeo": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword",
    "format": "text"
  },
  "dataType": {
    "label": "Data type",
    "format": "text"
  },
  "geo": {
    "label": "Geo",
    "format": "text"
  },
  "timeframe": {
    "label": "Timeframe",
    "format": "text"
  },
  "count": {
    "label": "Items",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Trends Scraper — Queries, Regions & Trending Now](https://apify.com/glitchbound/google-trends-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/glitchbound/google-trends-scraper) to learn more, explore other use cases, and run it yourself.